{"id":"W4389168884","doi":"10.31518/tktdr-35-2023-14","title":"Yekaterinburg trading and industrial firms (the second half of the 19th century – the early 20th century)","year":2023,"lang":"en","type":"article","venue":"","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Quarter (Canadian coin); Population; Stock (firearms); History; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001973942,0.000208568,0.0001067668,0.0006413925,0.001316361,0.002165294,0.000147638,0.0004899442,0.006403757],"category_scores_gemma":[0.0001903737,0.00009760541,0.00007355563,0.00145532,0.0008980292,0.001263372,0.0008049434,0.0004294201,0.0006766965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003500329,"about_ca_system_score_gemma":0.002236214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03878409,"about_ca_topic_score_gemma":0.08079422,"domain_scores_codex":[0.9998505,0.00001610824,0.000006362448,0.00002255602,0.00001551169,0.00008896348],"domain_scores_gemma":[0.9999188,0.00001281091,0.00003458049,0.000004571345,0.00001246833,0.00001665594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003933992,0.0001357182,0.1388348,0.0008361276,0.00005421419,0.008047889,0.05584855,0.0006078702,0.003369157,0.4923824,0.02268085,0.276809],"study_design_scores_gemma":[0.00001542472,0.00006269156,0.3006329,0.0005517559,0.00001373322,0.001910683,0.01539346,0.0001200727,0.0009830721,0.004363989,0.6759319,0.00002027499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6472416,0.05503412,0.0005409135,0.003312736,0.0002817042,0.00004068032,0.0007897074,0.00001413335,0.2927444],"genre_scores_gemma":[0.9201408,0.01601192,0.0003071447,0.0006319304,0.00006133212,0.00002064493,0.0003686081,0.00000887676,0.06244881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03878409,"threshold_uncertainty_score":0.07711667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550635146901529,"score_gpt":0.2625151540917508,"score_spread":0.2170088026227355,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}